External Validation
Correctly implementing algorithms and producing the expected performance is difficult. Academic papers more of then than not leave out important implementation details which are needed to reproduce their results. Just like with the halting problem in CS, its nearly impossible to formally prove that an algorithm is correctly implemented.
BoofCV contains over a thousand internal tests to help ensure correctness of its algorithms, but testing against external sources provides a hard number to compare against. This page contains a list of important algorithms inside of BoofCV and if they have been validated against external libraries or not. Just because some code has not been validated does not mean it is incorrect.
| Status |
Meaning
|
| Validated |
As good or better than original code or test data
|
| Needs Work |
Producing results which are not as good as expected
|
| NA |
Significantly different from original. See comments in code
|
|
Blank means that it has not been externally validated
|
Region Descriptors
Feature Detectors
3D Vision
| Algorithm
|
Status
|
Comments
|
| Zhang99 |
Validated |
More accurate than parameters found in paper. Given same points it produces same results as OpenCV. More accurate calibration point detector then OpenCV.
|
| EPnP |
|
Pending verification against author's code
|
| 8+ pt Fundamental |
|
|
| 8+ pt Essential |
|
|
| 7 pt Fundamental |
|
|
| 7 pt Essential |
|
|
| 5 pt Essential Nister |
|
Pending validation against author's Matlab code
|
| Linear H |
|
|
Image Processing
| Algorithm
|
Status
|
Comments
|
| Convolution |
|
|
Interpolation
| Algorithm
|
Status
|
Comments
|
| Nearest Neighbour |
|
|
| Bilinear |
|
|
Image Transformation
| Algorithm
|
Status
|
Comments
|
| Wavelet |
|
|
